AI & Financial Engineering Developer

Aktra -
McLean, VA

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Job Details

4 days ago

Qualifications

AI models
Containerization systems
TensorFlow
Software engineering
Continuous deployment
PyTorch
Spark
Generative models
Git
MongoDB
AI platforms (beyond public GPTs)
Computational framework
Microservices
Spark implementation
Machine intelligence
Airflow
Redis
Developing large-scale AI models
Cloud Native Design
Kafka
DevOps automation
Machine learning libraries
Financial data analysis tools
Machine learning frameworks
Generative AI
Statistical analysis tools
Web services design

Full Job Description

McLean, VA

July 14, 2026

Only considering candidates already local to the Washington, D.C. area who can start immediately.

We are seeking an experienced AI & Financial Engineering Developer with expertise in AI/ML, financial systems, and enterprise software development. This role is ideal for a hands-on engineer who can build AI-powered financial applications, develop scalable APIs, and collaborate with cross-functional teams to deliver innovative solutions.

Must-Have Qualifications

7+ years of software development experience
Strong experience building APIs and AI-powered applications
Expert programming skills in Python with experience in Java, C++, or Scala
1–3 years of experience in financial services or FinTech
Experience developing applications using LLMs; experience with AI agents/agentic AI is highly preferred
Experience with cloud platforms (AWS, Azure, or GCP) and modern software engineering practices
Bachelor's degree preferred (Master's or PhD in a quantitative field is a plus)

Key Responsibilities

Design, develop, and deploy AI/ML solutions for financial applications
Build and optimize LLM, NLP, and generative AI applications
Develop scalable APIs, microservices, and distributed systems
Create data pipelines and implement MLOps best practices for model deployment and monitoring
Develop quantitative models, financial analytics, and simulation tools
Build real-time market data processing and financial analytics solutions
Write production-quality, scalable, and maintainable code
Collaborate with business stakeholders, quants, data engineers, and product teams

Required Technical Skills

Languages: Python, Java, C++, Scala, SQL
AI/ML: PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LLMs
Cloud & DevOps: AWS, Azure, or GCP; Docker, Kubernetes, CI/CD
Data: Spark, Kafka, Airflow, PostgreSQL, MongoDB, Redis
Experience with REST APIs, microservices, Git, and modern development workflows

Preferred Qualifications

Experience with RAG architectures, LLM fine-tuning, and AI agents
Knowledge of quantitative finance, derivatives, risk management, or portfolio analytics
Experience with financial engineering libraries (QuantLib, pandas, NumPy)
Familiarity with MLOps tools such as MLflow or Weights & Biases
CFA, FRM, or other financial certifications are a plus
Experience with reinforcement learning, real-time streaming, or low-latency systems is a plus

Apply Now

Only considering candidates already local to the Washington, D.C. area who can start immediately.

Must-Have Qualifications

Key Responsibilities

Required Technical Skills

Preferred Qualifications

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